AI Product Manager

Swayable•San Francisco, CA

1h•$150,000 - $175,000•Hybrid

About The Position

The AI Product Manager will own a portfolio of product bets and features on Swayable’s core content-testing product, taking new capabilities from prototype through research preview and beta. The role is accountable for adoption, usage, growth, and go-to-market success, and involves making evidence-based decisions about whether to advance or stop each product bet. The position requires deep client and user understanding through relationship-building, shadowing, recruiting users, and conducting research. The Product Manager will rapidly prototype and test ideas with users, use data to guide iteration, and partner with engineering to build complex AI agents and Swayable’s AI software factory, including agents, evaluation frameworks, workflows, and tooling. The role also works closely with sales, customer success, design, and data science, and engages with the AI community to bring new techniques and knowledge to the organization.

Requirements

At least 3 years of relevant professional experience.
Bachelor’s degree in a related field.
Clear and effective written and verbal communication.
Track record of building trusted client or user relationships and translating firsthand context into products people adopt.
Experience recruiting users, conducting research, and identifying problems worth solving.
Evidence of rapid, empirical iteration: prototyping with users, measuring results, and improving or stopping ideas quickly.
Analytical and design thinking skills, including using data to understand problems and evaluate solutions, and applying design thinking to reframe problems and shape solutions.
Systems thinking across clients, users, product, data, and go-to-market.
Experience owning a product end to end, including operational workflows and sales or marketing enablement, with accountability for outcomes.
Demonstrated experience building LLM-based agentic systems, including evaluation frameworks, and integrating them into user experiences.
Strong analytical judgment, including assessing analyses, identifying flaws in AI-generated analysis, and deriving decisions from evidence.
Passion for social impact and interest in scaling a platform that moves public opinion for good.

Nice To Haves

Experience owning a product line end to end, including go-to-market outcomes.
Experience at a high-growth technology startup.
Experience at a top-tier consulting firm or investment bank.

Responsibilities

Own a portfolio of product bets and features on the core product, prioritizing them against business objectives and taking accountability for outcomes.
Take product bets through prototype, research preview, and beta; validate problems, size opportunities, build minimum lovable products, test willingness to pay, and make go/no-go decisions.
Build client relationships and shadow teams to understand workflows and identify unarticulated problems.
Recruit users beyond the client base and conduct interviews, contextual inquiries, and usability tests.
Rapidly prototype and empirically test ideas with users, iterating based on evidence.
Design, build, and evaluate complex AI agents, including multi-step reasoning, tool use, and orchestration; define evaluations and quality standards and improve output quality.
Lead the AI software development lifecycle with engineering, including building the AI software factory, agents, evaluations, and tooling.
Use data and analytics to inform decisions and iterate quickly.
Partner with sales and customer success on go-to-market validation, positioning, pricing and packaging, launch, onboarding, and adoption.
Collaborate with engineering, design, data science, and customer success.
Engage with the AI community and share knowledge and advancements internally.